A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.
The enrollment of students learning English as a new language has soared in recent years. But a report found “systemic breakdowns” in their education. By Troy Closson New York City’s public education ...
Abstract: In this work, performance of 5 different supervised learning algorithms from MATLAB Classification learner toolbox for microwave stroke detection and classification was tested and the ...
This project was developed as part of my Master's programm at Heilbronn University. The goal is to classify different oil samples (e.g. olive oil, sunflower oil) based on their fluorescence and ...
Binary classification of Diabetic Retinopathy using SVM in MATLAB with fundus image features. This repository compares the performance of Adaline, Logistic Regression, and Perceptron models on binary ...
In recent studies, in the field of Brain-Computer Interface (BCI), researchers have focused on Motor Imagery tasks. Motor Imagery-based electroencephalogram (EEG) signals provide the interaction and ...
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